Multi-view transfer learning with adaboost

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn , Issue , 2011, Pages 399-402

  Xu, Zhijie ^a   Sun, Shiliang ^a  

^a EAST CHINA NORMAL UNIVERSITY   (China)

Author keywords

Adaboost; Classification; Multi view learning; Transfer learning

Indexed keywords

ADABOOST ALGORITHM; LABELED DATA; MULTI-VIEW LEARNING; MULTI-VIEWS; RESEARCH DIRECTIONS; TRANSFER LEARNING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION);

ADAPTIVE BOOSTING;

EID: 84862915529     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2011.65     Document Type: Conference Paper

References (7)

1. F. Jin and S. Sun, A multitask learning approach to face recognition based on neural networks. In Proceedings of 9th Intelligent Data Engineering and Automated Learning, pp 24-31, 2008.
2. R. Raina, A. Y. Ng and D. Koller, Constructing informative priors using transfer learning. In Proceedings of the 23rd International Conference on Machine Learning, pp 713-720, 2006.
3. Y. Freund and R. E. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Science, 55: 119-139, 1997. (Pubitemid 127433398)
4. D. Ross and R. Zemel, Learning parts-based representations of data. Journal of Machine Learning Research, 7: 2369-2397, 2006. (Pubitemid 44708006)
5. Z. Xu and S. Sun, An algorithm on multi-view adaboost. In Proceedings of 17th International Conference on Neural Information Processing, pp 355-362, 2010.
6. Q. Zhang and S. Sun, Multiple-view multiple-learner active learning. Pattern Recognition, 43(9): 3113-3119, 2010.
7. G. Haffari, Y. Wang, S. Wang, G. Mori and F. Jiao, Boosting with incomplete information. In Proceedings of the 25th International Conference on Machine Learning, pp 368-375, 2008.